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WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification

2021-06-27 07:59:22
Cees Roele
arXiv_CL
       
Abstract

A novel solution to span detection and classification is presented in which a BART EncoderDecoder model is used to transform textual input into a version with XML-like marked up spans. This markup is subsequently translated to an identification of the beginning and end of fragments and of their classes. Discussed is how pre-training methodology both explains the relative success of this method and its limitations. This paper reports on participation in task 6 of SemEval-2021: Detection of Persuasion Techniques in Texts and Images.

Abstract (translated)

URL

https://arxiv.org/abs/2107.05467

PDF

https://arxiv.org/pdf/2107.05467.pdf

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